Where is the role based?

Luma AI is hiring for this position in Remote, International.

What's the tech stack?

Joblaze extracted these technologies from the posting: AI/ML.

What seniority level is this role?

Luma AI targets mid-level candidates for this position.

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Research Scientist / Engineer – Training Infrastructure

Luma AI AI/ML

Location

Remote, International

Compensation

Not disclosed

Level

mid

Type

full time · Hybrid

Posted by employer 1 year ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Luma AI → Save job Scanned from lumalabs.ai

Skills & Technologies

AI/ML

Requirements

Education: Master's degree

Not disclosed in this posting: compensation, years of experience, visa sponsorship.

Joblaze summary

In this role, the Research Scientist or Engineer focuses on developing and optimizing training infrastructure for machine learning models. Proficiency in programming languages such as Python and experience with cloud computing platforms are essential, along with a strong understanding of machine learning concepts. This position is ideal for candidates with a solid background in research or engineering, particularly those who have worked on AI-related projects. Luma AI is known for its innovative approach to artificial intelligence, making it an exciting environment for professionals eager to push the boundaries of technology.

Joblaze insights

Listed 7 days ago on Joblaze — tracked directly from Luma AI's career page.
Luma AI has 51 other open roles including Simulation Researcher/Engineer, Applied Research Scientist / Engineer, Senior Site Reliability Engineer.
5136 active AI/ML roles on Joblaze right now.
Typical AI/ML salary we track runs $140,000–$231,000 (median $180,000, across 2232 roles). See AI/ML salary trends

Quick facts

Is the Research Scientist / Engineer – Training Infrastructure role remote?: It's hybrid — Luma AI expects some on-site time in Remote, International.
Where is the role based?: Luma AI is hiring for this position in Remote, International.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI/ML.
What seniority level is this role?: Luma AI targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Research Scientist / Engineer – Training Infrastructure role at Luma AI.